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1. (WO2017149399) OPTIMIZATION-BASED RECONSTRUCTION WITH AN IMAGE-TOTAL-VARIATION CONSTRAINT IN PET

Pub. No.:    WO/2017/149399    International Application No.:    PCT/IB2017/050776
Publication Date: Sat Sep 09 01:59:59 CEST 2017 International Filing Date: Tue Feb 14 00:59:59 CET 2017
IPC: G06T 11/00
Applicants: KONINKLIJKE PHILIPS N.V.
UNIVERSITY OF CHICAGO
Inventors: PAN, Xiaochuan
YE, Jinghan
PERKINS, Amy
TUNG, Chi-Hua
ZHANG, Zheng
Title: OPTIMIZATION-BASED RECONSTRUCTION WITH AN IMAGE-TOTAL-VARIATION CONSTRAINT IN PET
Abstract:
In an emission imaging method, emission imaging data are acquired for a subject using an emission imaging scanner (10) including radiation detectors (12). The emission imaging data are reconstructed to generate a reconstructed image by executing a constrained optimization program including a measure of data fidelity between the acquired emission imaging data an a reconstructed image transformed by a data model of the imaging scanner to emission imaging data. During the reconstructing, each iteration of the constrained optimization program is constrained by an image variability constraint. The reconstructed image is displayed the reconstructed image on a display device. The emission imaging may be positron emission tomography (PET) imaging data, optionally acquired using a sparse detector array. The image variability constraint may be a constraint that an image total variation (image TV) of a latent image defined using a Gaussian blurring matrix be less than a maximum value.